On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,742 papers · 148 categories

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2 results for “Golub-Kahan bidiagonalization”

Accurate and fast matrix factorization for low-rank learningstat.ML

Fast and accurate methods for low-rank learning problems.

problem Partial singular value decomposition and numerical rank estimation of huge matrices.

method Krylov subspaces and Ritz vectors for fast and accurate solutions.

result Advantages over traditional methods in accuracy and speed.

matrix factorization low-rank learning singular value decomposition Golub-Kahan bidiagonalization Riemannian similarity learning

2021-04-21abs ↗pdf ↗

Time-vectorized numerical integration for systems of ODEsmath.NA

Efficiently integrates stiff ODEs with vectorized methods.

problem Stiff systems and sparse training data in ODEs.

method Implicit, vectorized time integration with adjoint method.

result Achieves speed ups of greater than 100x on modern GPUs.

ODEs stiff systems vectorization implicit methods adjoint method

2023-10-12abs ↗pdf ↗